Abstract Sign Languages (SLs) are employed by deaf and hard-of-hearing (DHH) people to
communicate on a daily basis. However, the communication with hearing people still faces …

People with hearing impairments are found worldwide; therefore, the development of
effective local level sign language recognition (SLR) tools is essential. We conducted a …

Whole-body mesh recovery aims to estimate the 3D human body, face, and hands
parameters from a single image. It is challenging to perform this task with a single network …

Sign languages play an essential role in the cognitive and social development of the deaf,
consisting of a natural form of communication and being a symbol of identity and culture …

Abstract Zero-Shot Learning (ZSL) has rapidly advanced in recent years. Towards
overcoming the annotation bottleneck in the Dynamic Hand Gesture Recognition (DHGR) …

Real-time sign language translation systems are of paramount importance in enabling
communication for deaf and hard-of-hearing individuals. This population relies on various …

Abstract 3D hand pose estimation methods have made significant progress recently.
However, estimation accuracy is often far from sufficient for specific real-world applications …

State-of-the-art techniques common to low resource Machine Translation (MT) are applied to
improve MT of spoken language text to Sign Language (SL) glosses. In our experiments, we …

Although our digitalized society is able to foster social inclusion and integration, there are
still numerous communities suffering from inequality. This is also the case with deaf people …

In this paper, a hybrid feature selection technique named mRMR-PSO has been proposed
with a multiobjective approach for automatic recognition of sign language. The features are …